Mohammed E.

-Surveys development and data analysis -Descriptive statistics: Cross tabulation, Frequencies, Descriptives, Explore, Descriptive Ratio Statistics. -Bi-variate statistics: Means, t-test, ANOVA, Correlation (bi-variate, partial, distances),Nonparametric tests. -Prediction for numerical outcomes: Linear regression -Prediction for identifying groups: Factor analysis, cluster analysis (two-step, K-means, hierarchical), Discriminant -Analytics, Business intelligence,Data mining, Exploratory data analysis,Multi-way data analysis. -Statistical inference:Statistical theory ,Frequentest inference, Point estimation, Interval estimation, Testing hypotheses, Parametric tests, Specific tests, Goodness of fit, Rank statistics, Bayesian inference -Multivariate :Regression Anova Principal components Canonical correlation Discriminant analysis Cluster analysis Classification Structural equation model Factor analysis -Design of Experiments (DOE) -100% Pass Pearson exams, assignments, and discussions